On Mon, 15 Jun 2020 at 00:21, Greg Ewing <greg.ew...@canterbury.ac.nz> wrote: > > On 15/06/20 3:52 am, David Mertz wrote: > > I've had occasion to use math.isclose(), np.isclose(), and np.allclose() > > quite often. > > Can you elaborate a bit on the kinds of things you use them for?
I can't elaborate on David's use but in my own experience these functions are mostly useful for interactive checking or for something like unit tests. They can be used extensively in the testing code for projects with a lot of floating point functions. It's unlikely that a fundamental numeric algorithm would want to make use of a generic function such as this though without explicitly setting the tolerance which wouldn't work with an operator. Fishing for examples in numpy testing code I quickly came across this test file where almost every test is based on a function assert_array_almost_equal: https://github.com/numpy/numpy/blob/master/numpy/fft/tests/test_helper.py The docstring for assert_array_almost_equal refers to more functions that are variants of the idea of closeness testing but somehow not quite the same. -- Oscar _______________________________________________ Python-ideas mailing list -- python-ideas@python.org To unsubscribe send an email to python-ideas-le...@python.org https://mail.python.org/mailman3/lists/python-ideas.python.org/ Message archived at https://mail.python.org/archives/list/python-ideas@python.org/message/LLVOHYLGGYTDUUQWWF3SU6I4PLOZR5YW/ Code of Conduct: http://python.org/psf/codeofconduct/
